Restoring speech intelligibility for hearing aid users with deep learning

Almost half a billion people world-wide suffer from disabling hearing loss. While hearing aids can partially compensate for this, a large proportion of users struggle to understand speech in situations with background noise. Here, we present a deep learning-based algorithm that selectively suppresse...

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Detalles Bibliográficos
Autores principales: Diehl, Peter Udo, Singer, Yosef, Zilly, Hannes, Schönfeld, Uwe, Meyer-Rachner, Paul, Berry, Mark, Sprekeler, Henning, Sprengel, Elias, Pudszuhn, Annett, Hofmann, Veit M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932078/
https://www.ncbi.nlm.nih.gov/pubmed/36792797
http://dx.doi.org/10.1038/s41598-023-29871-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932078/
https://www.ncbi.nlm.nih.gov/pubmed/36792797
http://dx.doi.org/10.1038/s41598-023-29871-8

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